Workshop

Deep learning is a key technology driving the Artificial Intelligence (AI) megatrend. Popular applications of deep learning include autonomous driving, speech recognition, and defect detection. When deep learning is used in complex systems it is important to note that a trained deep learning model is only a small component of a larger system. Deep learning models can also be used for replacing a detailed, high-fidelity model of the machine or a process. This is known as reduced order modeling. In this presentation we will use examples to understand and explore the use of reduced order modeling in complex engineering systems using MATLAB & Simulink.